• DocumentCode
    2284078
  • Title

    AUV mission preparation as a multi-criteria optimization problem using statistical performance prediction

  • Author

    Rendas, M. João ; Turcci, Emmanuel

  • Author_Institution
    UNSA, CNRS, Biot, France
  • Volume
    3
  • fYear
    1998
  • fDate
    28 Sep-1 Oct 1998
  • Firstpage
    1749
  • Abstract
    This paper addresses the problem of designing the key parameters defining a mission of an AUV. The novelty of our approach consists: (i) in the formulation of mission design as a multi-criteria problem and use of an appropriate optimization tool, and (ii) on the use of statistically based performance prediction tools
  • Keywords
    genetic algorithms; geophysics computing; oceanographic equipment; remotely operated vehicles; underwater vehicles; AUV; autonomous underwater vehicle; equipment; genetic algorithm; geophysical measurement technique; instrument; key parameters; marine geology; mission design; mission preparation; multi-criteria optimization problem; ocean; optimization tool; statistical performance prediction; underwater robot; Delay; Doppler measurements; Genetic algorithms; Leg; Robots; Sea surface; Statistical analysis; Stress; Transponders; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    OCEANS '98 Conference Proceedings
  • Conference_Location
    Nice
  • Print_ISBN
    0-7803-5045-6
  • Type

    conf

  • DOI
    10.1109/OCEANS.1998.726387
  • Filename
    726387